MacBook Air (2022)
Geekbench AI Score
3113
Single Precision Score
27421
Half Precision Score
30865
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1105
205.5 IPS |
|
|
Image Classification (HP)
|
100% |
13724
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
14970
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18002
291.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23337
378.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5363
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
103727
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104198
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
99% |
15610
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17854
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
34660
411.8 IPS |
|
|
Face Detection (Q)
|
100% |
46565
553.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4305
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86874
669.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111233
870.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16698
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203201
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191779
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3532
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42616
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50823
1.88 KIPS |
|
|
Text Classification (SP)
|
99% |
4034
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6238
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6283
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3807
65.8 IPS |
